Mercurial > repos > iuc > data_manager_homer_preparse
view data_manager/homer_genome_preparse.py @ 3:679673fbf0b4 draft default tip
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/data_managers/data_manager_homer_preparse commit 096286097ed5cdf189a1b68c3fc34d10f4142e54
author | iuc |
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date | Sun, 16 Apr 2023 08:30:23 +0000 (2023-04-16) |
parents | e6a2110ac3b9 |
children |
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#!/usr/bin/env python # Dan Blankenberg for bowtie2 # Modified by Lucille Delisle for homer from __future__ import print_function import json import optparse import os import subprocess import sys DEFAULT_DATA_TABLE_NAME = "homer_preparse" def get_id_name(params, dbkey, fasta_description=None): # TODO: ensure sequence_id is unique and does not already appear in location file sequence_id = params['param_dict']['sequence_id'] if not sequence_id: sequence_id = dbkey sequence_name = params['param_dict']['sequence_name'] if not sequence_name: sequence_name = fasta_description if not sequence_name: sequence_name = dbkey return sequence_id, sequence_name def homer_preparse(data_manager_dict, fasta_filename, params, target_directory, dbkey, sequence_id, sequence_name, size, mask, version, data_table_name=DEFAULT_DATA_TABLE_NAME): args = ['preparseGenome.pl', fasta_filename, '-size', str(size), '-preparsedDir', target_directory] if mask: args.append('-mask') proc = subprocess.Popen(args=args, shell=False, cwd=target_directory) return_code = proc.wait() if return_code: print("Error preparsing genome.", file=sys.stderr) sys.exit(return_code) mask_suffix = 'r' if mask else '' mask_suffix_name = ' masked' if mask else '' data_table_entry = dict(value=sequence_id + mask_suffix + '_' + str(size), dbkey=dbkey, mask=str(mask), size=str(size), name=sequence_name + mask_suffix_name + ' (' + str(size) + 'bp)', path=sequence_id + mask_suffix + '_' + str(size), path_fasta=fasta_filename, version=version) _add_data_table_entry(data_manager_dict, data_table_name, data_table_entry) def _add_data_table_entry(data_manager_dict, data_table_name, data_table_entry): data_manager_dict['data_tables'] = data_manager_dict.get('data_tables', {}) data_manager_dict['data_tables'][data_table_name] = data_manager_dict['data_tables'].get(data_table_name, []) data_manager_dict['data_tables'][data_table_name].append(data_table_entry) return data_manager_dict def main(): parser = optparse.OptionParser() parser.add_option('-f', '--fasta_filename', dest='fasta_filename', action='store', type="string", default=None, help='fasta_filename') parser.add_option('-d', '--fasta_dbkey', dest='fasta_dbkey', action='store', type="string", default=None, help='fasta_dbkey') parser.add_option('-t', '--fasta_description', dest='fasta_description', action='store', type="string", default=None, help='fasta_description') parser.add_option('-s', '--size', dest='size', action='store', type="int", default=200, help='fragment size') parser.add_option('-m', '--mask', dest='mask', action='store_true', default=False, help='mask the lower case bases (repeats)') parser.add_option('-n', '--data_table_name', dest='data_table_name', action='store', type="string", default=None, help='data_table_name') parser.add_option('--index_version', dest='index_version', action='store', type="string", default=None, help='index version') (options, args) = parser.parse_args() filename = args[0] with open(filename) as fh: params = json.load(fh) target_directory = params['output_data'][0]['extra_files_path'] os.mkdir(target_directory) data_manager_dict = {} dbkey = options.fasta_dbkey if dbkey in [None, '', '?']: raise Exception('"%s" is not a valid dbkey. You must specify a valid dbkey.' % (dbkey)) sequence_id, sequence_name = get_id_name(params, dbkey=dbkey, fasta_description=options.fasta_description) # preparse the genome homer_preparse(data_manager_dict, options.fasta_filename, params, target_directory, dbkey, sequence_id, sequence_name, options.size, options.mask, options.index_version, data_table_name=options.data_table_name or DEFAULT_DATA_TABLE_NAME) # save info to json file with open(filename, 'w') as fh: json.dump(data_manager_dict, fh, sort_keys=True) if __name__ == "__main__": main()